comfyanonymous/ComfyUI
1
0
Fork 0
mirror of https://github.com/comfyanonymous/ComfyUI.git synced 2026-03-13 00:59:59 +00:00
Code Issues Packages Projects Releases Wiki Activity

Add exp_heun_2_x0 sampler series (#11360)

Browse Source
This commit is contained in:
chaObserv
2025-12-17 12:35:43 +08:00
committed by GitHub
parent ffdd53b327
commit 827bb1512b
3 changed files with 22 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files

11
comfy/k_diffusion/sampling.py
View File

@@ -1618,6 +1618,17 @@ def sample_seeds_2(model, x, sigmas, extra_args=None, callback=None, disable=Non
x = x + sde_noise * sigmas[i + 1] * s_noise
return x
@torch.no_grad()
def sample_exp_heun_2_x0(model, x, sigmas, extra_args=None, callback=None, disable=None, solver_type="phi_2"):
"""Deterministic exponential Heun second order method in data prediction (x0) and logSNR time."""
return sample_seeds_2(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, eta=0.0, s_noise=0.0, noise_sampler=None, r=1.0, solver_type=solver_type)
@torch.no_grad()
def sample_exp_heun_2_x0_sde(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None, solver_type="phi_2"):
"""Stochastic exponential Heun second order method in data prediction (x0) and logSNR time."""
return sample_seeds_2(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, eta=eta, s_noise=s_noise, noise_sampler=noise_sampler, r=1.0, solver_type=solver_type)
@torch.no_grad()
def sample_seeds_3(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None, r_1=1./3, r_2=2./3):